Fractal
San Francisco, California
Get AI-powered advice on this job and more exclusive features. Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please Note: This role is specifically located in the North Bay area of San Francisco. You'll need to be onsite or have the ability to move. Role Overview: We're looking for a Software Development Engineer to play a pivotal role in developing and deploying cutting-edge, AI-driven enterprise applications using our client's proprietary AI Platform. This role involves crafting and enhancing applications and diving deep into problem-solving, performance optimization, and comprehensive documentation. You'll be expected to work closely with our client, offering technical expertise and innovative solutions to meet their needs. Responsibilities: Design, develop, and deploy full-stack, AI-centric enterprise applications on the client AI Platform, ensuring their integration with advanced data solutions. Lead the architecture, development, and maintenance of comprehensive data integration systems, employing efficient ETL processes using Python, Pandas, and NumPy for large-scale data manipulation. Proactively test, diagnose, and refine software applications alongside clients, aiming for high quality and optimal functionality. Identify and rectify performance issues within applications and integrated data systems, focusing on efficiency, optimization, and data integrity. Utilize shell scripting and job scheduling for automating routine data operations, ETL tasks, and ensuring data accuracy and harmonization. Actively participate in and lead the design and review processes for both internal and client software applications. Implement and manage version control using Git, adeptly handling repository operations including rebase, pull, push, and branch management. Create detailed application specifications and maintain precise documentation throughout the software lifecycle, guaranteeing the integrity and harmonization of all integrated data. Qualifications: Have interest and ability to become certified on the end client AI platform. (We will provide all the necessary training and support) A bachelor's degree in computer science, a related field, or an equivalent combination of education and experience. Minimum of 5 years of relevant experience. Experience with version control systems, preferably Git. Strong experience in shell scripting and cron job scheduling for automating data processes. Experience in deploying software on leading cloud computing platforms (such as GCP, AWS, Azure). Understanding of both SQL and NoSQL database technologies. Strong skills in data structures, algorithm design, and implementation. Proficiency in handling and analyzing time-series data, including its cleansing and normalization. Familiarity with Agile software development methodologies. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. A reasonable estimate of the current range is: $90,000 to $208,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Seniority level Mid-Senior level Employment type Full-time Job function IT Services and IT Consulting and Engineering Services
Get AI-powered advice on this job and more exclusive features. Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please Note: This role is specifically located in the North Bay area of San Francisco. You'll need to be onsite or have the ability to move. Role Overview: We're looking for a Software Development Engineer to play a pivotal role in developing and deploying cutting-edge, AI-driven enterprise applications using our client's proprietary AI Platform. This role involves crafting and enhancing applications and diving deep into problem-solving, performance optimization, and comprehensive documentation. You'll be expected to work closely with our client, offering technical expertise and innovative solutions to meet their needs. Responsibilities: Design, develop, and deploy full-stack, AI-centric enterprise applications on the client AI Platform, ensuring their integration with advanced data solutions. Lead the architecture, development, and maintenance of comprehensive data integration systems, employing efficient ETL processes using Python, Pandas, and NumPy for large-scale data manipulation. Proactively test, diagnose, and refine software applications alongside clients, aiming for high quality and optimal functionality. Identify and rectify performance issues within applications and integrated data systems, focusing on efficiency, optimization, and data integrity. Utilize shell scripting and job scheduling for automating routine data operations, ETL tasks, and ensuring data accuracy and harmonization. Actively participate in and lead the design and review processes for both internal and client software applications. Implement and manage version control using Git, adeptly handling repository operations including rebase, pull, push, and branch management. Create detailed application specifications and maintain precise documentation throughout the software lifecycle, guaranteeing the integrity and harmonization of all integrated data. Qualifications: Have interest and ability to become certified on the end client AI platform. (We will provide all the necessary training and support) A bachelor's degree in computer science, a related field, or an equivalent combination of education and experience. Minimum of 5 years of relevant experience. Experience with version control systems, preferably Git. Strong experience in shell scripting and cron job scheduling for automating data processes. Experience in deploying software on leading cloud computing platforms (such as GCP, AWS, Azure). Understanding of both SQL and NoSQL database technologies. Strong skills in data structures, algorithm design, and implementation. Proficiency in handling and analyzing time-series data, including its cleansing and normalization. Familiarity with Agile software development methodologies. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. A reasonable estimate of the current range is: $90,000 to $208,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Seniority level Mid-Senior level Employment type Full-time Job function IT Services and IT Consulting and Engineering Services
Fractal
San Francisco, California
This range is provided by Fractal. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $110,000.00/yr - $160,000.00/yr Site Reliability Engineer Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please Note: This role is specifically located in the Bay Area of San Francisco. You will need to work onsite Monday - Friday. We offer paid relocation. Role Overview As a Site Reliability Engineer with Fractal, you will be dedicated to ensuring the highest system availability and performance levels. This role involves comprehensive monitoring, addressing complex technical issues, automating solutions to recurring problems, and contributing to developing resilient system architectures and deployment strategies. You will work closely with our Services and Engineering teams, playing a crucial role in optimizing our platforms and infrastructures. Responsibilities Ensure maximum uptime and system availability to meet or exceed functional and performance SLAs. Implement thorough end-to-end monitoring and alerting on all critical components to ensure quick detection and response. Tackle complex challenges affecting critical services, focusing on automating problem resolution to prevent future occurrences. Drive the development of innovative designs, architectures, standards, and methodologies to support and enhance our platform. Lead in scripting and automation efforts, aiming to refine system updates and upgrade processes. Design and configure essential infrastructure, tools, and frameworks to enhance the deployment lifecycle. Collaborate effectively with cross-functional teams within Services and Engineering. Qualifications Have interest and ability to become certified on the end client AI platform. (We will provide all the necessary training and support) Bachelor's or master's degree in computer science, a related field, or equivalent professional experience. Minimum of 10 years of relevant experience. Proven experience in deploying, managing, and optimizing scalable, fault-tolerant Linux/Kubernetes/JVM infrastructure across various cloud platforms like AWS, GCP, and Azure. Deep expertise in Linux Operating Systems, Networking principles, and Database management. Practical experience with Cassandra or similar NoSQL technologies. Proficiency with major cloud services providers, notably AWS, Azure, and GCP. Familiarity with configuration management tools such as Ansible or Terraform. Proficiency in programming languages like Ruby or Python, particularly for system automation and monitoring. Strong problem-solving abilities, critical thinking skills, and effective communication capabilities. Prior experience in a DevOps or system administration role, ideally supporting commercial SaaS solutions. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is: $110,000 - $160,000. In addition, you may be eligible for a discretionary bonus for the current performance period. As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology, Consulting, and Engineering Industries Technology, Information and Media, IT Services and IT Consulting, and Business Consulting and Services
This range is provided by Fractal. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $110,000.00/yr - $160,000.00/yr Site Reliability Engineer Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please Note: This role is specifically located in the Bay Area of San Francisco. You will need to work onsite Monday - Friday. We offer paid relocation. Role Overview As a Site Reliability Engineer with Fractal, you will be dedicated to ensuring the highest system availability and performance levels. This role involves comprehensive monitoring, addressing complex technical issues, automating solutions to recurring problems, and contributing to developing resilient system architectures and deployment strategies. You will work closely with our Services and Engineering teams, playing a crucial role in optimizing our platforms and infrastructures. Responsibilities Ensure maximum uptime and system availability to meet or exceed functional and performance SLAs. Implement thorough end-to-end monitoring and alerting on all critical components to ensure quick detection and response. Tackle complex challenges affecting critical services, focusing on automating problem resolution to prevent future occurrences. Drive the development of innovative designs, architectures, standards, and methodologies to support and enhance our platform. Lead in scripting and automation efforts, aiming to refine system updates and upgrade processes. Design and configure essential infrastructure, tools, and frameworks to enhance the deployment lifecycle. Collaborate effectively with cross-functional teams within Services and Engineering. Qualifications Have interest and ability to become certified on the end client AI platform. (We will provide all the necessary training and support) Bachelor's or master's degree in computer science, a related field, or equivalent professional experience. Minimum of 10 years of relevant experience. Proven experience in deploying, managing, and optimizing scalable, fault-tolerant Linux/Kubernetes/JVM infrastructure across various cloud platforms like AWS, GCP, and Azure. Deep expertise in Linux Operating Systems, Networking principles, and Database management. Practical experience with Cassandra or similar NoSQL technologies. Proficiency with major cloud services providers, notably AWS, Azure, and GCP. Familiarity with configuration management tools such as Ansible or Terraform. Proficiency in programming languages like Ruby or Python, particularly for system automation and monitoring. Strong problem-solving abilities, critical thinking skills, and effective communication capabilities. Prior experience in a DevOps or system administration role, ideally supporting commercial SaaS solutions. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is: $110,000 - $160,000. In addition, you may be eligible for a discretionary bonus for the current performance period. As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology, Consulting, and Engineering Industries Technology, Information and Media, IT Services and IT Consulting, and Business Consulting and Services
Fractal
San Francisco, California
Get AI-powered advice on this job and more exclusive features. This range is provided by Fractal. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $115,000.00/yr - $185,000.00/yr Machine Learning Engineer Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal Intelligence for Imagination for more information about Fractal. Please note that this role is specifically located in the San Francisco Bay Area and requires 100% onsite availability. If you are not local, we provide weekly travel or relocation. Role Overview: As an ML Engineer at Fractal Analytics, you will be at the forefront of building and deploying AI-driven solutions that address critical business challenges across industries. You'll work with cutting-edge AI platforms to develop both custom and pre-built enterprise applications, tackling key problems such as demand forecasting, asset reliability planning, and inventory optimization. Your role will focus on implementing scalable, production-ready machine learning solutions that seamlessly integrate into our clients' operations. You'll collaborate with cross-functional teams, optimize model performance, and ensure the reliability and efficiency of AI applications in real-world business environments. If you're passionate about transforming businesses with AI and thrive in a dynamic, impact-driven environment, we'd love to have you on our team. Responsibilities Include: Research, design, implement, and deploy Machine Learning algorithms for enterprise scale applications. Engage with clients to translate business needs into technical requirements and Machine Learning solutions. Contribute to the design and implementation of features for new and existing enterprise AI solution offerings. Provide ongoing support and monitoring for solutions running in production. Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions. Qualifications: MS in Computer Science, Electrical Engineering, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence. Excellent programming skills in Python Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Applied Machine Learning and AI experience in a professional setting. Broad knowledge on ecosystem of machine learning and AI algorithms, including tradeoffs to consider and when most appropriate to use. Demonstrated project expertise in supervised/unsupervised learning techniques, deep learning, time series, operations research, or Generative AI. Familiarity with ML model lifecycle including key considerations and relevant tools (MLFlow, AirFlow, Kubeflow, etc.) for supporting and governing models at scale. Familiarity with scalable AI technologies such as (MapReduce, Spark, streaming). Prior exposure to cloud computing services like AWS, Azure, or Google Cloud is advantageous (especially ML and AI toolkits). Ability to drive a project and work both independently and in a team. Smart, motivated, can-do attitude, and seeks to make a difference. Excellent verbal and written communication. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: 115,000 to 185,000. In addition, you may be eligible for a discretionary bonus for the current performance period. As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionConsulting, Information Technology, and Engineering IndustriesIT Services and IT Consulting and Business Consulting and Services Referrals increase your chances of interviewing at Fractal by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Machine Learning Engineer" roles.Software Engineer, Machine Learning (Multiple Levels) - Slack San Francisco, CA $167,300.00-$334,600.00 5 days ago San Francisco, CA $180,000.00-$240,000.00 6 days ago San Francisco, CA $140,000.00-$180,000.00 6 months ago Machine Learning Engineer (I, II, or Sr.)Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $140,000.00-$215,000.00 1 month ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $140,000.00-$170,000.00 1 day ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Francisco, CA $140,000.00-$160,000.00 5 months ago San Mateo, CA $163,700.00-$245,500.00 2 weeks ago Burlingame, CA $140,000.00-$180,000. hours ago San Francisco, CA $100,000.00-$180,000.00 1 year ago Redwood City, CA $167,200.00-$250,800.00 5 days ago San Francisco, CA $140,000.00-$290,000.00 8 months ago San Francisco, CA $100,000.00-$300,000.00 2 weeks ago San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $150,000.00-$250,000.00 1 month ago San Francisco, CA $175,000.00-$225,000.00 8 months ago San Mateo, CA $140,000.00-$210,000.00 1 month ago San Francisco, CA $130,000.00-$238,000.00 3 days ago San Francisco, CA $175,000.00-$250,000.00 1 month ago Machine Learning Engineer, AI (FULLY REMOTE) San Francisco, CA $176,600.00-$225,900.00 2 weeks ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA $176,000.00-$220,000.00 1 month ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Get AI-powered advice on this job and more exclusive features. This range is provided by Fractal. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $115,000.00/yr - $185,000.00/yr Machine Learning Engineer Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal Intelligence for Imagination for more information about Fractal. Please note that this role is specifically located in the San Francisco Bay Area and requires 100% onsite availability. If you are not local, we provide weekly travel or relocation. Role Overview: As an ML Engineer at Fractal Analytics, you will be at the forefront of building and deploying AI-driven solutions that address critical business challenges across industries. You'll work with cutting-edge AI platforms to develop both custom and pre-built enterprise applications, tackling key problems such as demand forecasting, asset reliability planning, and inventory optimization. Your role will focus on implementing scalable, production-ready machine learning solutions that seamlessly integrate into our clients' operations. You'll collaborate with cross-functional teams, optimize model performance, and ensure the reliability and efficiency of AI applications in real-world business environments. If you're passionate about transforming businesses with AI and thrive in a dynamic, impact-driven environment, we'd love to have you on our team. Responsibilities Include: Research, design, implement, and deploy Machine Learning algorithms for enterprise scale applications. Engage with clients to translate business needs into technical requirements and Machine Learning solutions. Contribute to the design and implementation of features for new and existing enterprise AI solution offerings. Provide ongoing support and monitoring for solutions running in production. Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions. Qualifications: MS in Computer Science, Electrical Engineering, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence. Excellent programming skills in Python Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Applied Machine Learning and AI experience in a professional setting. Broad knowledge on ecosystem of machine learning and AI algorithms, including tradeoffs to consider and when most appropriate to use. Demonstrated project expertise in supervised/unsupervised learning techniques, deep learning, time series, operations research, or Generative AI. Familiarity with ML model lifecycle including key considerations and relevant tools (MLFlow, AirFlow, Kubeflow, etc.) for supporting and governing models at scale. Familiarity with scalable AI technologies such as (MapReduce, Spark, streaming). Prior exposure to cloud computing services like AWS, Azure, or Google Cloud is advantageous (especially ML and AI toolkits). Ability to drive a project and work both independently and in a team. Smart, motivated, can-do attitude, and seeks to make a difference. Excellent verbal and written communication. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: 115,000 to 185,000. In addition, you may be eligible for a discretionary bonus for the current performance period. As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionConsulting, Information Technology, and Engineering IndustriesIT Services and IT Consulting and Business Consulting and Services Referrals increase your chances of interviewing at Fractal by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Machine Learning Engineer" roles.Software Engineer, Machine Learning (Multiple Levels) - Slack San Francisco, CA $167,300.00-$334,600.00 5 days ago San Francisco, CA $180,000.00-$240,000.00 6 days ago San Francisco, CA $140,000.00-$180,000.00 6 months ago Machine Learning Engineer (I, II, or Sr.)Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $140,000.00-$215,000.00 1 month ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $140,000.00-$170,000.00 1 day ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Francisco, CA $140,000.00-$160,000.00 5 months ago San Mateo, CA $163,700.00-$245,500.00 2 weeks ago Burlingame, CA $140,000.00-$180,000. hours ago San Francisco, CA $100,000.00-$180,000.00 1 year ago Redwood City, CA $167,200.00-$250,800.00 5 days ago San Francisco, CA $140,000.00-$290,000.00 8 months ago San Francisco, CA $100,000.00-$300,000.00 2 weeks ago San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $150,000.00-$250,000.00 1 month ago San Francisco, CA $175,000.00-$225,000.00 8 months ago San Mateo, CA $140,000.00-$210,000.00 1 month ago San Francisco, CA $130,000.00-$238,000.00 3 days ago San Francisco, CA $175,000.00-$250,000.00 1 month ago Machine Learning Engineer, AI (FULLY REMOTE) San Francisco, CA $176,600.00-$225,900.00 2 weeks ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA $176,000.00-$220,000.00 1 month ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.